Supermarket Sales Prediction Using Linear Regression: A Case Study Approach
摘要
Machine learning has been a subject going through exceptional examination across various enterprises and luckily, organizations are getting step by step more mindful of the different ways to deal with to take care of their issues. The customary methodology of deals and showcasing objectives at this point doesn’t help the organizations, to adapt up to the speed of the serious market, as they are done with no experience with clients’ buying designs. Major changes can be found in the area of deals and promoting because of Machine Learning headways. In this paper, the business dataset of supermarkets and attempt to examine how it can create later on and furthermore what are the fundamental advances that should have been taken for its improvement and consumer loyalty. This will be continued in a step-by-step investigation report from the recorded information and its implementation in the future. The study includes an extensive examination of sales prediction, employing Machine Learning techniques such as Linear Regression, as detailed in the research.